**Introduction** The Cloud Data Engineer will design, build, and optimize data pipelines and platforms on Google Cloud Platform (GCP). The role focuses on developing scalable ETL/ELT processes, ensuring data quality, and enabling analytics and business intelligence solutions that drive informed decision-making. The engineer will collaborate closely with cross-functional teams including project management, product management, and business stakeholders. **Your role and responsibilities** * Design, develop, and maintain ETL/ELT data pipelines and workflows using SQL, Python, and GCP tools. * Build and optimize data models in Google BigQuery to support analytics and reporting needs. * Manage and automate data integration and deployment processes using Jenkins and other CI/CD tools. * Ensure data accuracy, consistency, and security across systems and environments. * Collaborate with stakeholders to gather requirements, validate data outputs, and ensure deliverables meet business objectives. * Troubleshoot and resolve data-related issues and performance bottlenecks. * Contribute to best practices, documentation, and process improvements for data engineering workflows. **Required technical and professional expertise** * Strong SQL - advanced query design, optimization, and data manipulation. * ETL/BI Development - experience in designing and maintaining data pipelines and dashboards. * Jenkins - ideally 2+ years of experience in automating data engineering workflows. * Cloud Technologies - hands-on experience with Google Cloud Platform (GCP), Google BigQuery, Google Cloud Storage (GCS), or equivalent cloud data services (e.g.: AWS Redshift and S3, Azure Synapse Analytics and Blob Storage). * Python - proficiency in scripting, data wrangling, and automation tasks. * Excellent communication skills - Advanced spoken English required, ability to work directly with project and product management teams and business stakeholders to gather requirements and manage validation/testing. * Self-starter - capable of working independently and interacting confidently with end-users and technical teams. * Collaboration and stakeholder management - effective at aligning technical solutions with business needs and priorities. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.